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Bone marrow morphology in multiple myeloma

P Kuriakose1, S Das, A Mani

  • 1Department of Medicine, Christian Medical College and Hospital, Ludhiana, Punjab, India.

Indian Journal of Cancer
|September 1, 1995
PubMed
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Morphological grading of multiple myeloma (MM) patients revealed distinct survival rates. Immature and mature MM subtypes showed significantly longer survival compared to the aggressive plasmablastic subtype.

Area of Science:

  • Hematology
  • Oncology
  • Pathology

Background:

  • Multiple myeloma (MM) is a hematologic malignancy characterized by the proliferation of plasma cells.
  • Accurate prognostic markers are crucial for guiding treatment strategies in multiple myeloma.
  • Morphological classification of plasma cells in bone marrow aspirates offers potential prognostic insights.

Purpose of the Study:

  • To investigate the prognostic significance of morphological subtypes of multiple myeloma (MM).
  • To correlate bone marrow morphology with patient survival outcomes in a cohort of MM patients.

Main Methods:

  • Retrospective analysis of 89 multiple myeloma patients diagnosed between 1982 and 1991.
  • Morphological classification of bone marrow aspirate slides stained with May Grunwald Giemsa into mature, immature, and plasmablastic subtypes.

Related Experiment Videos

  • Estimation of median survival for each morphological subtype.

    • Main Results:

    • Median survival varied significantly across morphological subtypes: mature (55 months), immature (23 months), and plasmablastic (2 months).
    • Combining mature and immature groups yielded a median survival of 52 months.
    • A statistically significant difference (p < 0.05) was observed between the combined mature/immature group and the plasmablastic group.

    Conclusions:

    • Bone marrow morphology is a significant prognostic factor in multiple myeloma.
    • The plasmablastic subtype of multiple myeloma is associated with a poorer prognosis and significantly shorter survival.
    • These findings support the utility of morphological assessment in predicting outcomes for multiple myeloma patients.